Comments (10)
DrSleep
commented on July 3, 2024
1
MobileNet-v2 requires different hyperparams + you need to load-in ImageNet-pretrained weights for it
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zhouyuan888888
commented on July 3, 2024
@wujiaju I also come across this issue, have you ever find some tricks to overcome this problem?
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wujiaju
commented on July 3, 2024
@zhouyuan888888
No. I did't check the code.
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zhouyuan888888
commented on July 3, 2024
@DrSleep Can you give me a link to ImageNet-pretrained weights~~0(_)0, thank you
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DrSleep
commented on July 3, 2024
https://github.com/tonylins/pytorch-mobilenet-v2
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zhouyuan888888
commented on July 3, 2024
@DrSleep Hi, thank you so much0(#_#)0
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zhouyuan888888
commented on July 3, 2024
@DrSleep Hello,T_T, I have download the pretrained weights as you provided, but there are some misstakes：
Missing key(s) in state_dict: "layer1.0.weight", "layer1.1.running_var", "layer1.1.bias", "layer1.1.weight", "layer1.1.running_mean", "layer2.0.output.0.0.weight", "layer2.0.output.0.1.running_var", "layer2.0.output.0.1.bias"........
can you give me some tips to fix this bugT_T.
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DrSleep
commented on July 3, 2024
There might have been some changes in that repo since I used it. You may
need to convert the weights manually instead
…On Sat, 29 Jun 2019 6:56 pm sky, ***@***.***> wrote:
@DrSleep <https://github.com/DrSleep> Hello,T_T, I have download the
pretrained weights as you provided, but there are some misstakes：
*Missing key(s) in state_dict: "layer1.0.weight", "layer1.1.running_var",
"layer1.1.bias", "layer1.1.weight", "layer1.1.running_mean",
"layer2.0.output.0.0.weight", "layer2.0.output.0.1.running_var",
"layer2.0.output.0.1.bias"........*
can you give me some tips to fix this bugT_T.
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zhouyuan888888
commented on July 3, 2024
@DrSleep T_T
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YYingcute
commented on July 3, 2024
Can you provide the details of the hyperparams Settings @DrSleep
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